Investors are not our downstream; they are the upstream of our understanding. This section is written for you who review the deals — every line below is something you taught us.
Eight lines first; everything after is a footnote. In order: the three screens before a referral · the list, and how to check it · what you will receive · how we read these chains · you can meet even when there is no round.
Your most exacting scrutiny, then your eventual recognition, carried Glacier Capital from “one deal at a time” to being able to explain a whole category clearly. We hold ourselves to one rule: every sentence we say should hold up when you check it later — an efficiency eight years in the making, and the last thing we would squander.
This chapter also appears on the home page: index.html#trust
A referral is not an introduction. It is a guarantee. Fail one of the three screens and we do not refer.
Let us state the view first. A referral is not an introduction. A referral is a guarantee. Before a deal reaches an investor, we run three screens on his behalf: whether the orders close the loop at arm’s length, whether the founder keeps his word, whether the existing shareholders really help. Fail one and we do not refer. These three screens are not written into any contract. They are written into our own process.
The first, whether orders close the loop at arm’s length — the customer orders even though he owes you no favour — screens the quality of the business. Plainly put, it asks where the money comes from. Did the revenue grow out of the market, or was it built out of relationships? Does the customer order because of the product, or because of a favour? If the orders stop, does the business still run?
The second, whether the founder keeps his word, screens the quality of time. Were the things he said delivered? Were the milestones he promised met? Does bad news come early or late? Three slips, and there is no need to wait for a fourth.
The third, whether the existing shareholders really help, screens the quality of the table. Why? Because only the existing shareholders have a position to speak from. A new investor cannot verify the technology of a hard-tech company in two or three weeks. What he can verify is this: who invested in the last round, and what they say now. When the existing shareholders do not pitch in, we usually pass.
To refer is to stake our own judgement on it. Deals that are screened out never appear in a referral, so they take no one’s time. We recognise only one thing: whether the firm is willing to look at the next deal. Only what passes the three screens deserves a full picture.
Full essay: Three Screens Before a Referral
We work in-house so that we stand in the same trench as the entrepreneur; we commit our own money so that we know, concretely, what an investor is worried about. The companies below are those in which Glaciers has invested its own capital.
The list covers investments made directly with our own capital and through affiliated entities, in no particular order; a few stay unlisted — confidentiality agreements, or their own tempo.
The list is not three piles laid side by side but a process of inward convergence: many companies served, some served deeply, and our own capital committed only where we see most clearly.
We invest only in companies we have served deeply and see most clearly. If we cannot see clearly, we do not invest. If we see clearly and the price is wrong, we do not invest either.
Our judgment must withstand two tests: one for the client, one for our own balance sheet.
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This passage is still being written.
Every number withstands checking in reverse — so the handles for checking come with it.
Below, our publicly disclosed long-term companions, arranged by industry, in no particular order. The list records only completed collaborations — none still under way.
| Company | Direction | Disclosed rounds |
|---|---|---|
| D-Robotics | Robotics computing platform | Series B · $450M |
| Spirit AI | End-to-end foundation model | 2 Rounds · $450M |
| Giga AI 极佳视界 | World models and embodied foundation models | 4 Rounds · $250M |
| Paxini | Multi-dimensional tactile sensing and embodied AI | 6 Rounds · $550M |
| ROBOTERA 星动纪元 | Full-stack humanoid robots, developed in-house | 2 Rounds · $100M |
| XY | Industrial embodied AI | 3 Rounds · $100M |
| Pudu Robotics 普渡科技 | Service robots | 1 Round · $200M |
| Narwal 云鲸智能 | Home service robots | 2 Rounds · $280M |
| Robosen | Consumer IP robots | 4 Rounds · $120M |
| Yarbo | All-weather intelligent yard robots | 5 Rounds · $150M |
| OBSBOT | AI imaging and intelligent cameras | 4 Rounds · $150M |
| Rino.ai | Driverless delivery on public roads | 2 Rounds · $70M |
| Volant Aerotech | eVTOL low-altitude mobility | 7 Rounds · $400M |
| ASTRONSTONE | Large stainless-steel LOX-methane rockets | 3 Rounds · ¥3B |
| SpinQ 量旋科技 | Quantum computing | 2 Rounds · ¥2B |
| MatriQ 原子矩阵 | In the global front rank of neutral-atom quantum computing | 2 Rounds · ¥1B |
| DirectDrive 本末科技 | Specialists in direct-drive precision motion | Pre-IPO · funds received in 40 days |
| CAYE | A new generation of super-automatic coffee machines | 3 Rounds · $100M |
| DISCOVER Robotics | Consumer embodied AI | 3 Rounds · $200M |
| Zinsight 致瞻科技 | AI Infra | 2 Rounds · $150M |
The full panorama of companies Glacier Capital has served and accompanied over eight years, in no particular order; a few stay unlisted — confidentiality agreements, or their own tempo.
| Company | Round | What was publicly disclosed |
|---|---|---|
| Paxini 帕西尼感知 | RMB 1 billion strategic round | Cumulative funding RMB 3.5 billion; Glacier Capital has served as exclusive long-term strategic financial adviser across 8 consecutive rounds |
| MatriQ 原子矩阵 | Several-hundred-million-RMB Series A+ | Four rounds inside one year, totalling nearly RMB 1 billion; operates defect-free neutral-atom arrays of up to 2,310 physical qubits, built and held stable |
| DISCOVER Robotics 求之科技 | US$100 million angel+ round | Closed less than a month after its US$100M+ angel round; Glacier Capital acted as core financial adviser for this round |
| Evotrex 松鼠动力 | Series A series, over RMB 200 million | A Gla Portfolio member; its first intelligent range-extended travel trailer, the Evotrex-PG5, debuted at CES 2026 |
Note: for the role and the amount in any one transaction, follow that period’s public reporting.
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Provide the ammunition, and let investors pull the trigger themselves.
A deal done just right rests on a system that can be replicated and iterated. Four layers, one direction — from the outside in, converging breadth into precision. The four layers are one and the same thing, tightened four times. Each turn is narrower, heavier, and more concrete than the last.
A financing round, increasingly, runs like a competitive tender: capital bids in hard money, and every bid counts. No one wins on slogans — the record must survive re-checking, each bidder must be found one by one, and the bids must land within the same window. The Four-Layer Vortex organises that tender: facts in order, and the price set by the market.
This chapter also appears on the home page: index.html#vortex
A brief review after every meeting; a full one that same day; a weekly synthesis; a complete monthly retrospective; and each quarter, a capital-markets race plan for the two quarters ahead. The first metric it watches is conversion: if the right people were screened, the TS conversion rate should pass one half. If it does not, the profile or the story is wrong — we go back and fix it, rather than pulling you through ten more meetings.
This chapter also appears on the home page: index.html#mandate
A company misjudges one fewer window; an institution reviews ten fewer cases it never should have seen. What is saved is what we truly deliver.
The deal is only the result. What we do is Understanding, at Scale.
This chapter also appears on the home page: index.html#scaling-understanding
How we read these chains.
AI (foundation models); Physical AI (embodied intelligence); Space · Quantum · Fusion · BCI (commercial spaceflight, quantum, nuclear fusion, brain-computer interfaces); INFRA (compute, power, optics). Going deep on the Musk tracks, one chain end to end.
These are not four isolated tracks. They share the upstream and downstream of one industrial chain, and the same cohort of phenomenal entrepreneurs.
| Direction | Coverage | Representative case |
|---|---|---|
| 01 AI · foundation models | A new generation of foundation models and model paradigms | Hypersphere · model architecture |
| 02 Physical AI | Embodied intelligence and robotics | YIMU · optical tactile sensing |
| 03 Space · Quantum · Fusion · BCI — the frontier four | Commercial spaceflight, quantum computing, controlled nuclear fusion, brain-computer interfaces | MatriQ · quantum systems |
| 04 INFRA · infrastructure | Computing, power, optical interconnect, edge | Zinsight · solid-state transformers |
Note: plus mature technology companies at growth financing, Pre-IPO, and M&A stages.
This chapter also appears on the home page: index.html#focus
The AI of 2026 is the electric vehicle of 2015 — EV penetration exploded after a ramp of nearly five years, far beyond outside expectations. The dividend of the 14th Five-Year Plan came from electricity; the dividend of the 15th will come from intelligence. We are putting these ten years — the 15th and 16th Plans — on that one chain: staying with a hundred companies that are still small today, until they can stand on their own.
The above is Glacier Capital’s own assessment, not a forecast or a promise, and does not constitute investment advice.
This chapter also appears on the home page: index.html#conviction
A meeting with no deal pressure gives the truest information. Trust is a function of time, and time cannot be compressed.
The meeting held when you are not raising is worth the most. Why? Because with no deal pressure, neither side has to perform. The founder does not have to round out a story. The investor does not have to hold a posture. The talk is about the business itself: where it is hard, where it is stuck, what comes next.
Meet only when the round opens and the investor has to judge a stranger in a few weeks. Meet in advance and he is verifying an observation: were the targets set back then met? The first runs on impressions, the second on evidence. Time is more honest than materials.
We hold the boundaries fairly tight. First, on a major project we share at once, before it starts, without waiting for the materials to be complete. Second, for a project we do not serve, a meeting carries one line of disclosure: we have invested, no referral, no group chat. Third, the gatekeeping we do for investors is not outsourced. Whether the orders close the loop, the founder’s integrity, how far the shareholders will support — we verify these ourselves. Only a clean standing gives your words weight.
Full essay: You Can Meet Even When There Is No Round
Direct line for investors: invest@grandecygne.com (Hangzhou · SEAL Team). Public contact entry points are also on the official site at grandecygne.com/#contact.
The role must be distinguished deal by deal: in most engagements Glacier Capital acts as financial advisor; in some it also co-invests with its own capital; in a small number it is solely an investor and not the advisor. When citing a specific case, follow the role stated in that transaction’s public reporting.